loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
------------------------ arguments ------------------------
  batch_size ...................................... 131072
  batch_size_per_proc ............................. 131072
  data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord
  data_part_name_suffix_length .................... 5
  data_part_num ................................... 256
  dataset_format .................................. ofrecord
  ddp ............................................. True
  deep_dropout_rate ............................... 0.5
  deep_embedding_vec_size ......................... 16
  deep_vocab_size ................................. 2322444
  eval_after_training ............................. False
  eval_batchs ..................................... 20
  eval_interval ................................... 0
  execution_mode .................................. eager
  hidden_size ..................................... 1024
  hidden_units_num ................................ 2
  learning_rate ................................... 0.001
  loss_print_every_n_iter ......................... 100
  max_iter ........................................ 1100
  model_load_dir .................................. 
  model_save_dir .................................. ./checkpoint
  num_deep_sparse_fields .......................... 26
  num_dense_fields ................................ 13
  num_wide_sparse_fields .......................... 2
  save_initial_model .............................. False
  save_model_after_each_eval ...................... False
  test_name ....................................... noname_test
  wide_vocab_size ................................. 2322444
-------------------- end of arguments ---------------------
[rank:0] iter: 100/1100, loss: 0.5028488636016846, latency(ms): 353.8848382234573364 | 2022-04-12 01:50:12.847
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 01:50:12.868, Tesla V100-SXM2-32GB, 470.57.02, 10 %, 5 %, 32510 MiB, 27156 MiB, 5354 MiB
[rank:0] iter: 200/1100, loss: 0.4705572128295898, latency(ms): 301.8774767592549324 | 2022-04-12 01:50:43.035
[rank:0] iter: 300/1100, loss: 0.4606087505817413, latency(ms): 301.0293921828269958 | 2022-04-12 01:51:13.138
[rank:0] iter: 400/1100, loss: 0.4527612626552582, latency(ms): 300.0546669587492943 | 2022-04-12 01:51:43.143
[rank:0] iter: 500/1100, loss: 0.4513528943061829, latency(ms): 300.1064544543623924 | 2022-04-12 01:52:13.154
[rank:0] iter: 600/1100, loss: 0.4462444186210632, latency(ms): 301.7803288251161575 | 2022-04-12 01:52:43.332
[rank:0] iter: 700/1100, loss: 0.4406071901321411, latency(ms): 300.1244597882032394 | 2022-04-12 01:53:13.344
[rank:0] iter: 800/1100, loss: 0.4420536458492279, latency(ms): 300.0142526626586914 | 2022-04-12 01:53:43.346
[rank:0] iter: 900/1100, loss: 0.4340930879116058, latency(ms): 300.1178308948874474 | 2022-04-12 01:54:13.357
[rank:0] iter: 1000/1100, loss: 0.4312233030796051, latency(ms): 300.9754396229982376 | 2022-04-12 01:54:43.455
[rank:0] iter: 1100/1100, loss: 0.4331074655056000, latency(ms): 301.0070769861340523 | 2022-04-12 01:55:13.556